A Low Resource Consumption Clone Detection Method for Multi-Base Station Wireless Sensor Networks

Abstract

To make up the existing deficiencies of clone attack detection methods of wireless sensor networks, a low resource consumption clone detection method (MSCD) for multi-base station wireless sensor networks is proposed. MSCD has the following characteristics: (1) Running in each ring network with base station as the center and using nodes in non-hotspot area to complete clone attack detection, which reduces the effect of clone attack detection on the network lifetime; (2) Combine the head node rotation mechanism and the backup head node mechanism to ensure the energy balance of the network; (3) The ring head node path can find clone nodes that come from different local networks, which makes the MSCD method be suitable for the whole multi-base station network. Meanwhile, in the detection domain of the head node, local broadcast is used to ensure the encounter of legitimacy verification messages and witness nodes; (4) It is proved theoretically that the clone detection probability of MSCD can reach 1 when the witness is credible. The theoretical analysis and the simulation results show that the MSCD clone detection probability is still above 98% when the number of clone nodes accounts for 10% of the total number of nodes, and the network lifetime and storage requirements are significantly better than the existing similar methods. INDEX TERMS Clone attacks, wireless sensor networks, network lifetime, multi-base station networks.

A novel secure DV-Hop localization algorithm against wormhole attacks

“…Equation (15) gives the energy consumed by transmitting µ bit data over a distance of 𝑑𝑑 meters. Different energy loss models are used according to the size of transmission distance [36]. When 𝑑𝑑 is large, the Free-space Path Loss model is selected, while the Multipath Fading model is selected when 𝑑𝑑 is small.…”

“…The value of 𝑑𝑑 depends on the distance threshold 𝑑𝑑 0 , where 𝐸𝐸 𝑒𝑒 represents the energy consumed by the sensor module to receive 1 bit of data, 𝜀𝜀 𝑓𝑓 and 𝜀𝜀 𝑎𝑎 represent the energy consumed by the two models to enlarge the signal, and the real energy consumed by calculation is 𝐸𝐸 𝑟𝑟 . According to [36], assuming that initial energy is 150J, the message accounts for 10 bytes. The specific values of the parameters are shown in Table III.…”

FBDR-Fuzzy Based DDoS Attack Detection and Recovery Mechanism for Wireless Sensor Networks

“…MSCD method [26] have three parts to identifies the clone attack . The first part is to build the path of the head node and the second part is to decide the witness for each node in the network.…”